Personality Determination of an Individual Through Neural Networks

被引：0

作者：

Sanchez, J. R. ^{[1
]}

Capel, M. I. ^{[2
]}

Jimenez, Celina ^{[3
]}

Rodriguez-Fraile, Gonzalo ^{[4
]}

Pegalajar, M. C. ^{[1
]}

机构：

[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

[2] Univ Granada, Software Engn Dept, ETSI Informat & Telecommun, E-18071 Granada, Spain

[3] Psychol Clin Altea, Altea, Spain

[4] Univ Granada, Fdn Dev Consciousness & Dev, Granada, Spain

来源：

INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: THEORY AND FOUNDATIONS, IPMU 2018, PT I | 2018年 / 853卷

关键词：

Machine Learning; Eneagrama; 16PF; Psychology; Regression; Neural networks;

D O I：

10.1007/978-3-319-91473-2_5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The use of neural networks is proposed in this article as a means of determining the personality of an individual. This research work comes in view of the necessity of combining two psychological tests for carrying out personnel selection. From the assessment of the first test known as 16 Personality Factor we can directly obtain an appraisal of the individual's personality type as the one given by the Enneagram Test, which now does not need to be done. The two chosen tests are highly accepted by Human Resources Department in big companies as useful tools for selecting personnel when new recruitment comes up, for personnel promotion internal to the firm, for employees' personal development and growing as a person. The (mathematical/computer science) model chosen to attain the research objectives is based on Artificial Neuron Networks.

引用

页码：52 / 61

页数：10

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